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August 1, 1998Technometrics5,126 citations

Understanding The EM Algorithm and Its Extensions

The EM Algorithm and Extensions

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Authors

DKDebashis KusharyGMGeoffrey J. McLachlanTKThriyambakam Krishnan

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Overview

Unified account of the EM algorithm's theory and applications across various statistical fields, indicating its versatility.

Key Points

  • This work aims to provide a comprehensive overview of the EM algorithm and its extensions, addressing varied applications and methodologies.
  • Unified treatment of the EM algorithm and its extensions
  • Illustration of applications in regression, medical imaging, and categorical data analysis
  • Examination of shortcomings and solutions in extensions
  • The EM algorithm is standard for handling incomplete data across many statistical contexts.
  • Numerous applications demonstrate its versatility in statistical modeling, including survival and factor analysis.
  • Highlights both theoretical foundations and practical implementations for graduate students and researchers.

Cite This Study

Kushary et al. (1998) studied this question.

synapsesocial.com/papers/69de89257ed287395e55985ehttps://doi.org/10.2307/1271189
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